Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
We are looking for a Senior Machine Learning Engineer to lead the development of AIdriven solutions that optimize property valuations enhance operational processes and unlock new opportunities.
Key Responsibilities:
Develop and optimize ML models for comparable property search and ranking leveraging NLP and advanced search algorithms.
Build text classification models to extract and categorize insights from unstructured real estate data.
Finetune and optimize models for accuracy scalability and realtime processing.
Design and implement MLOps best practices ensuring smooth model training deployment and monitoring in cloud environments.
Develop CI/CD pipelines for ML workflows integrating automation for model retraining and performance monitoring.
Work with containerization (Docker Kubernetes) and cloudbased ML platforms (AWS SageMaker)
Collaborate with data engineers to process clean and optimize real estate datasets for machine learning applications.
Implement feature engineering strategies to enhance model performance and interpretability.
Ensure seamless data pipeline integration for structured and unstructured data sources.
Partner with real estate analysts product managers and data teams to align ML solutions with business objectives.
Lead discussions on ML strategy and roadmap providing technical guidance on AIdriven initiatives.
Present findings and ML model performance insights to business stakeholders in an actionable manner.
Qualifications :
Education & Experience:
Bachelors Masters or PhD in Computer Science Machine Learning Data Science AI or a related field.
5 years of experience in machine learning deep learning or applied AI with a track record of deploying ML models in production.
Technical Skills:
Strong programming skills in Python (Pandas NumPy Scikitlearn TensorFlow PyTorch).
Expertise in search ranking algorithms NLP and text classification models.
Experience with MLOps tools (MLflow Kubeflow AWS SageMaker Vertex AI).
Knowledge of SQL NoSQL and big data technologies for managing largescale datasets.
Proficiency in cloudbased machine learning services (AWS).
Handson experience with containerization (Docker Kubernetes) and CI/CD automation.
Ability to translate complex ML concepts into businessdriven solutions.
Strong analytical thinking and problemsolving skills.
Effective communication and stakeholder collaboration.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
